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Detection of cryptogenic malignancies from metagenomic whole genome sequencing of body fluids

Overview of attention for article published in Genome Medicine, June 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
14 X users

Citations

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20 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Detection of cryptogenic malignancies from metagenomic whole genome sequencing of body fluids
Published in
Genome Medicine, June 2021
DOI 10.1186/s13073-021-00912-z
Pubmed ID
Authors

Wei Gu, Eric Talevich, Elaine Hsu, Zhongxia Qi, Anatoly Urisman, Scot Federman, Allan Gopez, Shaun Arevalo, Marc Gottschall, Linda Liao, Jack Tung, Lei Chen, Harumi Lim, Chandler Ho, Maya Kasowski, Jean Oak, Brittany J. Holmes, Iwei Yeh, Jingwei Yu, Linlin Wang, Steve Miller, Joseph L. DeRisi, Sonam Prakash, Jeff Simko, Charles Y. Chiu

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 8%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Other 1 4%
Lecturer > Senior Lecturer 1 4%
Other 3 13%
Unknown 13 54%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 21%
Agricultural and Biological Sciences 2 8%
Veterinary Science and Veterinary Medicine 1 4%
Nursing and Health Professions 1 4%
Immunology and Microbiology 1 4%
Other 0 0%
Unknown 14 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 June 2021.
All research outputs
#4,116,492
of 25,389,532 outputs
Outputs from Genome Medicine
#819
of 1,584 outputs
Outputs of similar age
#91,748
of 415,679 outputs
Outputs of similar age from Genome Medicine
#37
of 56 outputs
Altmetric has tracked 25,389,532 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,584 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 415,679 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.